摘要
本文主要探讨基于STM32平台开发的嵌入式机器视觉检测系统的设计与应用。该系统通过结合高效的图像处理算法和STM32嵌入式处理平台，能够实现对工业生产中的零部件进行快速、准确的在线检测。系统的核心优势在于其低功耗、高性能的特点，适合在资源有限的嵌入式环境中进行应用。通过实践证明，基于该平台的机器视觉检测系统能够提高生产效率和产品质量，减少人工干预，为智能制造提供可靠的技术支持。本文还分析了该系统的硬件和软件架构、图像处理算法的选择及其优化方法，并展示了在实际生产中的应用效果。
关键词： STM32；嵌入式系统；机器视觉；图像处理；工业检测
Abstract
This paper mainly explores the design and application of an embedded machine vision inspection system developed based on the STM32 platform. By integrating efficient image processing algorithms with the STM32 embedded processing platform, the system can realize fast and accurate online inspection of components in industrial production. The core advantages of the system lie in its low power consumption and high performance, making it suitable for application in embedded environments with limited resources. Practical verification shows that the machine vision inspection system based on this platform can improve production efficiency and product quality, reduce manual intervention, and provide reliable technical support for intelligent manufacturing. This paper also analyzes the hardware and software architecture of the system, the selection of image processing algorithms and their optimization methods, and demonstrates the application effects in actual production.
Key words： STM32; Embedded system; Machine vision; Image processing; Industrial inspection
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